Current Model Predictive Control for Photovoltaic System Integrated NPC three-level four-legged Shunt Active Power Filter

Authors

  • KORICH Belkacem, ELBAR Mohamed, DOURARI Ahmed Lamine, BELADEL Abdelkader, BAKRIA Derradji, TETA Ali

Keywords:

Photovoltaic system, Model predictive control (MPC), three-level neural-point-clamped Inverter (NPC), shunt active power filter, maximum power point tracking (MPPT), PSO optimization

Abstract

This paper aims to implement current model predictive control in a multilevel converter supported by solar photovoltaic (SPV) system for a grid-connected application that improves power quality. For this purpose, a three-level neural-point-clamped Inverter (NPC) topology is chosen as a shunt active power filter (SAPF). The reference signal for the SAPF is obtained from the instantaneous power theory, based on Cross-Vector theory. these reference currents are used to generate a gate signal for the SAPF. Furthermore, this study presents the application of a Particle Swarm Optimization (PSO) maximum power point tracking (MPPT) technique to the DC-DC boost converter, aiming to obtain the highest possible power from the photovoltaic array. The simulation results validated the feasibility of the proposed APF.

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Published

2023-04-07

How to Cite

KORICH Belkacem, ELBAR Mohamed, DOURARI Ahmed Lamine, BELADEL Abdelkader, BAKRIA Derradji, TETA Ali. (2023). Current Model Predictive Control for Photovoltaic System Integrated NPC three-level four-legged Shunt Active Power Filter. SJIS-P, 35(1), 755–766. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/396

Issue

Vol. 35 No. 1 (2023)

Section

Articles